Literature DB >> 19351250

Validation of consensus quantitative trait loci associated with resistance to multiple foliar pathogens of maize.

Godfrey Asea1, Bindiganavile S Vivek, George Bigirwa, Patrick E Lipps, Richard C Pratt.   

Abstract

Maize production in sub-Saharan Africa incurs serious losses to epiphytotics of foliar diseases. Quantitative trait loci conditioning partial resistance (rQTL) to infection by causal agents of gray leaf spot (GLS), northern corn leaf blight (NCLB), and maize streak have been reported. Our objectives were to identify simple-sequence repeat (SSR) molecular markers linked to consensus rQTL and one recently identified rQTL associated with GLS, and to determine their suitability as tools for selection of improved host resistance. We conducted evaluations of disease severity phenotypes in separate field nurseries, each containing 410 F2:3 families derived from a cross between maize inbred CML202 (NCLB and maize streak resistant) and VP31 (a GLS-resistant breeding line) that possess complimentary rQTL. F2:3 families were selected for resistance based on genotypic (SSR marker), phenotypic, or combined data and the selected F3:4 families were reevaluated. Phenotypic values associated with SSR markers for consensus rQTL in bins 4.08 for GLS, 5.04 for NCLB, and 1.04 for maize streak significantly reduced disease severity in both generations based on single-factor analysis of variance and marker-interval analysis. These results were consistent with the presence of homozygous resistant parent alleles, except in bin 8.06, where markers were contributed by the NCLB-susceptible parent. Only one marker associated with resistance could be confirmed in bins 2.09 (GLS) and 3.06 (NCLB), illustrating the need for more robust rQTL discovery, fine-mapping, and validation prior to undertaking marker-based selection.

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Year:  2009        PMID: 19351250     DOI: 10.1094/PHYTO-99-5-0540

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  7 in total

1.  Large-scale Maize Seedling Infection with Exserohilum turcicum in the Greenhouse.

Authors:  Ping Yang; Gerhard Herren; Simon G Krattinger; Beat Keller
Journal:  Bio Protoc       Date:  2017-10-05

2.  qRfg3, a novel quantitative resistance locus against Gibberella stalk rot in maize.

Authors:  Chuanyu Ma; Xuena Ma; Lishan Yao; Yongjie Liu; Feili Du; Xiaohong Yang; Mingliang Xu
Journal:  Theor Appl Genet       Date:  2017-05-29       Impact factor: 5.699

Review 3.  Genetics of Resistance and Pathogenicity in the Maize/Setosphaeria turcica Pathosystem and Implications for Breeding.

Authors:  Ana L Galiano-Carneiro; Thomas Miedaner
Journal:  Front Plant Sci       Date:  2017-08-29       Impact factor: 5.753

4.  Combined linkage and association mapping reveal QTL for host plant resistance to common rust (Puccinia sorghi) in tropical maize.

Authors:  Hongjian Zheng; Jiafa Chen; Chunhua Mu; Dan Makumbi; Yunbi Xu; George Mahuku
Journal:  BMC Plant Biol       Date:  2018-11-29       Impact factor: 4.215

5.  Mapping and Validation of Major Quantitative Trait Loci for Resistance to Northern Corn Leaf Blight Along With the Determination of the Relationship Between Resistances to Multiple Foliar Pathogens of Maize (Zea mays L.).

Authors:  Hosahally Muddrangappa Ranganatha; Hirenallur Chandappa Lohithaswa; Anand Pandravada
Journal:  Front Genet       Date:  2021-01-29       Impact factor: 4.599

6.  Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize.

Authors:  Junqiang Ding; Farhan Ali; Gengshen Chen; Huihui Li; George Mahuku; Ning Yang; Luis Narro; Cosmos Magorokosho; Dan Makumbi; Jianbing Yan
Journal:  BMC Plant Biol       Date:  2015-08-20       Impact factor: 4.215

7.  Mapping QTL conferring resistance in maize to gray leaf spot disease caused by Cercospora zeina.

Authors:  Dave K Berger; Maryke Carstens; Jeanne N Korsman; Felix Middleton; Frederik J Kloppers; Pangirayi Tongoona; Alexander A Myburg
Journal:  BMC Genet       Date:  2014-05-22       Impact factor: 2.797

  7 in total

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